The phrase "ability of the prediction" is correct and usable in written English.
It can be used when discussing the effectiveness or accuracy of a prediction in various contexts, such as statistics, forecasting, or analysis.
Example: "The ability of the prediction to accurately forecast market trends is crucial for investors."
Alternatives: "accuracy of the prediction" or "effectiveness of the prediction".
To validate the predictive ability of the prediction models, the marker and phenotypic data sets were divided into training and test subsets by the cut-off birth date of bulls on October 1 , 2001
The data presented revealed that radiological data on erosions, regardless of its definition, does not importantly improve the predictive ability of the prediction rule that is based on common clinical and serological risk factors.
As we hypothesized that using different cut offs or a different definition for erosive joints (according to the SENS method) may affect the predictive ability of the prediction rule, data on the number of erosive joints were added to the logistic regression model with a backward selection procedure that was used to derive the prediction rule [ 7].
The ability of the prediction rule and that of admission HbA1c to predict discharge glycemia ≥ 140 mg/dl and HbA1c > 7% one year after discharge was assessed in the testing population.
The ability of the prediction tool, developed using logistic regression modelling, to predict claim destination will be assessed against prespecified performance criteria, as per the approach described by Wolfe et al. 26 This analysis will also provide feedback on the delivery format and administration of the tool.
However, the discriminative ability of the prediction model was not satisfactory.
The models were also evaluated in terms of their ability to predict accurate probabilities (reliability), and the ability of the predictions to separate correctly the carriers and noncarriers (resolution/discrimination).
The AUC quantifies the area under the ROC curve, and represents the overall ability of the predictions to discriminate between positives and negatives.
Here, we compare the prediction ability of the WSRC prediction model using substitution representation matrix based features with the existing methods on Yeast and H. pylori datasets.
The area under the receiver-operating-characteristic curve (ROC) was used as an overall measure of the discrimination abilities of the prediction models [ 28].
External validation showed good discrimination for the prediction of pneumonia (0.81, 0.69 to 0.93); discriminative ability for the prediction of other SBIs was lower (0.69, 0.53 to 0.86).
